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Deep reuse: streamline CNN inference on the fly via coarse-grained computation reuse.

, and . ICS, page 438-448. ACM, (2019)

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Exploration of the Influence of Program Inputs on CMP Co-scheduling., and . Euro-Par, volume 5168 of Lecture Notes in Computer Science, page 263-273. Springer, (2008)Predicting locality phases for dynamic memory optimization., , and . J. Parallel Distributed Comput., 67 (7): 783-796 (2007)Do computer programs have to be as dumb as they are?: input-centric dynamic program optimizations.. VMIL@SPLASH, page 41-42. ACM, (2013)Enabling Near Real-Time NLU-Driven Natural Language Programming through Dynamic Grammar Graph-Based Translation., , and . CGO, page 278-289. IEEE, (2022)Temporal Exposure Reduction Protection for Persistent Memory., , , and . HPCA, page 908-924. IEEE, (2022)Locality approximation using time., , , and . POPL, page 55-61. ACM, (2007)Software-level scheduling to exploit non-uniformly shared data cache on GPGPU., , and . MSPC@PLDI, page 10:1-10:2. ACM, (2013)Understanding Co-run Degradations on Integrated Heterogeneous Processors., , , , and . LCPC, volume 8967 of Lecture Notes in Computer Science, page 82-97. Springer, (2014)In-Place Zero-Space Memory Protection for CNN., , , , , and . NeurIPS, page 5735-5744. (2019)IDE Augmented with Human-Learning Inspired Natural Language Programming., , and . ICSE-Companion, page 110-114. ACM/IEEE, (2022)